Experienced Full Stack Data Engineer – Customer Service and Analytics

At careerzynith, we're revolutionizing the way we approach data engineering and customer service. As a leading entertainment services company, we're committed to delivering an exceptional customer experience, and our Data Science and Engineering team plays a critical role in making that happen. We're seeking an experienced Full Stack Data Engineer to join our team and help us build reliable, scalable data pipelines that transform raw data into core business metrics.

• *About careerzynith**

careerzynith is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films, and games across a wide variety of genres and languages. Our mission is to deliver an incredible customer experience, and our Data Science and Engineering team is at the forefront of this effort. We're a remote-first company, and our team is spread across the globe, working together to build innovative solutions that drive business results.

• *Role Overview**

As a Full Stack Data Engineer on our Customer Service team, you'll collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines that transform raw data into core business metrics. You'll work with custom visualization tools that surface CS insights, and your expertise will help us make data-driven decisions that drive business results. This role requires a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to business metrics and tools.

• *Key Responsibilities**

• Collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines that transform raw data into core business metrics
• Design and develop data models that are adaptable to changes in the source data or business processes
• Develop and maintain custom visualization tools that surface CS insights
• Work with big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
• Develop and maintain advanced SQL skills and advocate for data quality
• Analyze business problems and develop metrics to measure success
• Communicate effectively with analysts, engineers, and business leaders to drive business results

• *Essential Qualifications**

• At least 4 years of experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
• Strong data modeling skills, with the ability to design structures that are adaptable to changes in the source data or business processes
• Strong proficiency in Python or Scala, with a passion for writing clean, supportable code
• Advanced SQL skills, with a focus on data quality and advocacy
• Analytical aptitude, with the ability to think through business problems and prioritize autonomously
• Strong communication and productive partnership skills, with the ability to work effectively with analysts, engineers, and business leaders

• *Preferred Qualifications**

• Experience working with cloud-based data platforms (e.g. AWS, GCP, Azure)
• Experience with data warehousing and ETL processes
• Experience with machine learning and predictive analytics
• Experience with data visualization tools (e.g. Tableau, Power BI)
• Experience with agile development methodologies (e.g. Scrum, Kanban)

• *careerzynith Culture**

careerzynith's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We're an equal-opportunity employer, and we celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. Our compensation structure consists solely of an annual salary, and we offer comprehensive benefits, including health plans, mental health support, a 401(k) retirement plan, stock option program, and more.

• *Compensation and Benefits**

• Annual salary: $170,000 - $720,000
• Comprehensive benefits, including:
+ Health plans+ Mental health support+ 401(k) retirement plan with employer match+ Stock option program+ Disability programs+ Health savings and flexible spending accounts+ Family-forming benefits+ Life and serious injury benefits
• Paid leave of absence programs
• Flexible time off for full-time salaried employees

• *Career Growth Opportunities**

careerzynith is committed to helping our employees grow and develop their careers. We offer a range of opportunities for professional development, including training programs, mentorship, and career advancement. Our team is passionate about innovation and experimentation, and we encourage our employees to take risks and try new things.

• *Work Environment**

careerzynith is a remote-first company, and our team is spread across the globe. We're committed to creating a collaborative and inclusive work environment, and we use a range of tools and technologies to stay connected and productive.

• *How to Apply**

If you're passionate about data engineering and customer service, and you're looking for a challenging and rewarding role, we'd love to hear from you. Please click the link below to apply for this position.

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• *Simple Application Process**

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